Lead Fullstack Engineer (AI Platform)

TL;DR

Lead Fullstack Engineer (AI Platform): Building a central GenAI platform and AI agents for healthcare, legal, and tax industries with an accent on scalable capabilities for development, validation, and deployment. Focus on implementing RAG patterns, reducing hallucinations, and optimizing latency for high-impact clinical reasoning agents.

Location: Must be based in the US or Canada. Hybrid options available near major offices (2 days onsite). Must have 9–11 AM CST overlap.

Salary: $97,400 - $174,050 USD

Company

Global information services company providing critical decision support in healthcare, legal, tax, and compliance industries.

What you will do

• Design and implement full-stack applications, AI agents, and platform components to enable rapid GenAI agent development.
• Build developer tooling, CI/CD, and observability for safe iteration, including evals, canaries, and telemetry.
• Apply secure SDLC and privacy-by-design practices such as threat modeling and least privilege.
• Collaborate with product, UX, and domain experts to deliver customer-focused AI solutions.
• Implement current LLM patterns (RAG, retrieval, routing, tool-use) to improve safety and reduce time-to-decision.
• Lead engineering craftsmanship by writing high-quality, maintainable code.

Requirements

• 5+ years of professional software engineering experience.
• Strong full-stack development skills and cloud experience (AWS, Azure, or GCP).
• Expertise in at least one area: AI agent development, backend, frontend, cloud services, or SRE.
• Proven track record of delivering secure, reliable, cloud-native systems to production.
• Location: Must be based in the US or Canada.
• Timezone: Must have 9–11 AM CST overlap.

Nice to have

• Experience taking AI agents from concept to production, including safety evaluations and A/B testing.
• Proficiency with LangChain, LangGraph, MCP, and vector/RAG systems (e.g., OpenSearch).
• Experience with traditional ML tasks like training, deployment, and monitoring.
• Deep understanding of LLM failure modes and fine-tuning techniques.
• Familiarity with regulatory frameworks such as SOC2 and HIPAA.

Culture & Benefits

• Remote-first environment with a "manager of one" mindset where outcomes are prioritized over optics.
• Comprehensive health coverage including Medical, Dental, and Vision plans.
• Financial benefits such as 401(k), FSA, and HSA.
• Tuition assistance program, vacation, sick time, and paid parental leave.
• Occasional travel for team onsites and offsites.

Hiring process

• Submission of resume and cover letter including a “Statement of Exceptional Work.”
• Interviews conducted without AI assistance; virtual backgrounds must be removed.
• Potential in-person interview at a hirify.global office.